| Poi: Multiple object tracking with high performance detection and appearance feature F Yu, W Li, Q Li, Y Liu, X Shi, J Yan European Conference on Computer Vision, 36-42, 2016 | 249 | 2016 |
| Differentiable soft quantization: Bridging full-precision and low-bit neural networks R Gong, X Liu, S Jiang, T Li, P Hu, J Lin, F Yu, J Yan Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 111 | 2019 |
| Forward and backward information retention for accurate binary neural networks H Qin, R Gong, X Liu, M Shen, Z Wei, F Yu, J Song Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 51 | 2020 |
| Towards unified int8 training for convolutional neural network F Zhu, R Gong, F Yu, X Liu, Y Wang, Z Li, X Yang, J Yan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 30 | 2020 |
| Incorporating convolution designs into visual transformers K Yuan, S Guo, Z Liu, A Zhou, F Yu, W Wu arXiv preprint arXiv:2103.11816, 2021 | 22 | 2021 |
| Brecq: Pushing the limit of post-training quantization by block reconstruction Y Li, R Gong, X Tan, Y Yang, P Hu, Q Zhang, F Yu, W Wang, S Gu arXiv preprint arXiv:2102.05426, 2021 | 9 | 2021 |
| Extremely low-bit convolution optimization for quantized neural network on modern computer architectures Q Han, Y Hu, F Yu, H Yang, B Liu, P Hu, R Gong, Y Wang, R Wang, ... 49th International Conference on Parallel Processing-ICPP, 1-12, 2020 | 6 | 2020 |
| Ir-net: Forward and backward information retention for highly accurate binary neural networks H Qin, R Gong, X Liu, Z Wei, F Yu, J Song | 4 | 2019 |
| Diversifying Sample Generation for Accurate Data-Free Quantization X Zhang, H Qin, Y Ding, R Gong, Q Yan, R Tao, Y Li, F Yu, X Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 3 | 2021 |
| Efficient bitwidth search for practical mixed precision neural network Y Li, W Wang, H Bai, R Gong, X Dong, F Yu arXiv preprint arXiv:2003.07577, 2020 | 3 | 2020 |
| Dms: Differentiable dimension search for binary neural networks Y Li, R Gong, F Yu, X Dong, X Liu International Conference on Learning Representations, 2020 | 1 | 2020 |
| RobustART: Benchmarking Robustness on Architecture Design and Training Techniques S Tang, R Gong, Y Wang, A Liu, J Wang, X Chen, F Yu, X Liu, D Song, ... arXiv preprint arXiv:2109.05211, 2021 | | 2021 |
| Robust: Benchmarking Robustness on Architecture Design and Training Techniques S Tang, R Gong, W Yan, A Liu, J Wang, X Chen, F Yu, X Liu, D Song, ... | | 2021 |
| MQBench: Towards Reproducible and Deployable Model Quantization Benchmark Y Li, M Shen, J Ma, Y Ren, M Zhao, Q Zhang, R Gong, F Yu, J Yan | | 2021 |
| Learning in School: Multi-teacher Knowledge Inversion for Data-Free Quantization Y Li, F Zhu, R Gong, M Shen, F Yu, S Lu, S Gu arXiv preprint arXiv:2011.09899, 2020 | | 2020 |
Ruihao Gong (龚睿昊)SenseTime在 nlsde.buaa.edu.cn 的电子邮件经过验证
